Data analysis of lung cancer incidence

Abstract

Lung cancer has been widely considered as a global high incidence-disease, and its incidence is related to many factors, like smoking, genetics, and other diseases. This paper aims to model and analyse a database to further study the relationship between the incidence of lung cancer and other factors by utilizing a clinical database containing the patient information such as disease diagnoses, age, gender, and smoking. The model finds that patients with allergy and swallowing difficulty have significantly high incidence of lung cancer, while smoking does not show a highly positive association with lung cancer in the model which is widely confirmed should be highly related with lung cancer. The problem could be related to the sample in the database, since most of people in the dataset are getting respiratory diseases who are more likely to quit smoking. Finally, the paper discusses the associated causes of lung cancer and potential risks that other diseases may have based on the model result.